- Instability at Short Tandem Repeats in Lymphoblastoid Cell Lines
-
Jae-Eun Lee, Eun-Jung Hong, Ji-Hyun Kim, So Youn Shin, Young-Youl Kim, Bok-Ghee Han
-
Osong Public Health Res Perspect. 2013;4(4):194-196. Published online August 31, 2013
-
DOI: https://doi.org/10.1016/j.phrp.2013.06.003
-
-
3,228
View
-
15
Download
-
1
Crossref
-
Abstract
PDF
- Objectives
Epstein Barr virus (EBV)-transformed lymphoblastoid cell lines (LCLs) are a useful biological resource, however, genomic variations can happen during the generation and immortalization processes of LCLs. The purpose of this study was to identify genomic variations in LCL DNA compared with matched blood DNA using short tandem repeats (STRs) analysis. Methods
We analyzed 15 STRs with blood DNA and their matched LCL DNA samples from 6645 unrelated healthy individuals. Results
Mutations (such as repeat variations and triallelic patterns) of 15 STR loci were detected in 612 LCL DNAs (9.2% of total) without mutations in their matched blood DNA. The repeat variations of 15 STRs were detected in 526 LCL DNAs (mutation rate = 0.0792) and triallelic patterns were identified in 123 (mutation rate = 0.0185). Among 15 STRs, the most common repeat variations (n = 214, mutation rate = 0.0322) and triallelic patterns (n = 17, mutation rate = 0.0026) were found at FGA locus. Conclusion
Our study shows that mutations in STRs can occur during generation and immortalization of LCLs.
-
Citations
Citations to this article as recorded by
- Authentication of M14 melanoma cell line proves misidentification of MDA‐MB‐435 breast cancer cell line
Christopher Korch, Erin M. Hall, Wilhelm G. Dirks, Margaret Ewing, Mark Faries, Marileila Varella‐Garcia, Steven Robinson, Douglas Storts, Jacqueline A. Turner, Ying Wang, Edward C. Burnett, Lyn Healy, Douglas Kniss, Richard M. Neve, Raymond W. Nims, Yvon International Journal of Cancer.2018; 142(3): 561. CrossRef
- National Biobank of Korea: Quality control Programs of Collected-human Biospecimens
-
Jae-Eun Lee, Ji-Hyun Kim, Eun-Jung Hong, Hye Sook Yoo, Hye-Young Nam, Ok Park
-
Osong Public Health Res Perspect. 2012;3(3):185-189. Published online June 30, 2012
-
DOI: https://doi.org/10.1016/j.phrp.2012.07.007
-
-
3,456
View
-
19
Download
-
20
Crossref
-
Abstract
PDF
- Personalized medicine is emerging as a main paradigm for risk prediction, pre-diagnosis, and effective prevention and treatment of disease. A large number of human biospecimens and their clinical data are essential resources for the success of personalized medicine as well as other biomedical research. The National Biobank of Korea (NBK) has collected well-annotated and high quality human biospecimens, and distributes them to the Korean biomedical scientists, through the Korea Biobank Project (KBP). The ultimate goal of NBK activities is to promote biomedical research and public health. As of December- 2011, the NBK has collected various human biospecimens from 525,416 participants including 325,952 Korean populations and 199,464 patients. The purpose of this paper is to introduce the KBP and quality control programs for collection of human biospecimens with high quality of NBK.
-
Citations
Citations to this article as recorded by
- Evaluation of penalized and machine learning methods for asthma disease prediction in the Korean Genome and Epidemiology Study (KoGES)
Yongjun Choi, Junho Cha, Sungkyoung Choi BMC Bioinformatics.2024;[Epub] CrossRef - Urinary microbiome-based metagenomic signature for the noninvasive diagnosis of hepatocellular carcinoma
Eun Ju Cho, Boram Kim, Su Jong Yu, Suk Kyun Hong, YoungRok Choi, Nam-Joon Yi, Kwang-Woong Lee, Kyung-Suk Suh, Jung-Hwan Yoon, Taesung Park British Journal of Cancer.2024; 130(6): 970. CrossRef - Assessment of the Impact of Preanalytical DNA Integrity on the Genome Data Quality
Sung-Mi Shim, Meehee Lee, Jae-Pil Jeon Biopreservation and Biobanking.2024;[Epub] CrossRef - Gene–Smoking Interaction Analysis for the Identification of Novel Asthma-Associated Genetic Factors
Junho Cha, Sungkyoung Choi International Journal of Molecular Sciences.2023; 24(15): 12266. CrossRef - Multi-omics reveals microbiome, host gene expression, and immune landscape in gastric carcinogenesis
Chan Hyuk Park, Changjin Hong, A-reum Lee, Jaeyun Sung, Tae Hyun Hwang iScience.2022; 25(3): 103956. CrossRef - Biobank for multidrug-resistant tuberculosis research: importance of sequential samples
Yoohyun Hwang, Jiyeon Kim, Seungkyu Park, Sungweon Ryoo Pathogens and Disease.2021;[Epub] CrossRef - Comparison between Cervical Ureaplasma spp. Colonization and the Intensity of Inflammatory Mediators in the Amniotic Fluid Retrieved during Cesarean Delivery in Preterm Birth
Jingon Bae, Shin Kim, Ilseon Hwang, Jaehyun Park International Journal of Environmental Research an.2021; 19(1): 107. CrossRef - Contributions of the UK biobank high impact papers in the era of precision medicine
Peter Glynn, Philip Greenland European Journal of Epidemiology.2020; 35(1): 5. CrossRef - Axes of a revolution: challenges and promises of big data in healthcare
Smadar Shilo, Hagai Rossman, Eran Segal Nature Medicine.2020; 26(1): 29. CrossRef - Is the Random Forest Algorithm Suitable for Predicting Parkinson’s Disease with Mild Cognitive Impairment out of Parkinson’s Disease with Normal Cognition?
Haewon Byeon International Journal of Environmental Research an.2020; 17(7): 2594. CrossRef - Application of Machine Learning Technique to Distinguish Parkinson’s Disease Dementia and Alzheimer’s Dementia: Predictive Power of Parkinson’s Disease-Related Non-Motor Symptoms and Neuropsychological Profile
Haewon Byeon Journal of Personalized Medicine.2020; 10(2): 31. CrossRef - Exploring the Predictors of Rapid Eye Movement Sleep Behavior Disorder for Parkinson’s Disease Patients Using Classifier Ensemble
Haewon Byeon Healthcare.2020; 8(2): 121. CrossRef - DeepVariant-on-Spark: Small-Scale Genome Analysis Using a Cloud-Based Computing Framework
Po-Jung Huang, Jui-Huan Chang, Hou-Hsien Lin, Yu-Xuan Li, Chi-Ching Lee, Chung-Tsai Su, Yun-Lung Li, Ming-Tai Chang, Sid Weng, Wei-Hung Cheng, Cheng-Hsun Chiu, Petrus Tang Computational and Mathematical Methods in Medicine.2020; 2020: 1. CrossRef - Mini-Review of Laboratory Operations in Biobanking: Building Biobanking Resources for Translational Research
Mine S. Cicek, Janet E. Olson Frontiers in Public Health.2020;[Epub] CrossRef - Development of a depression in Parkinson's disease prediction model using machine learning
Haewon Byeon World Journal of Psychiatry.2020; 10(10): 234. CrossRef - Aspects of Modern Biobank Activity – Comprehensive Review
Wiktor Paskal, Adriana M. Paskal, Tomasz Dębski, Maciej Gryziak, Janusz Jaworowski Pathology & Oncology Research.2018; 24(4): 771. CrossRef - Optimization of RNA Extraction from Formalin-Fixed Paraffin-Embedded Blocks for Targeted Next-Generation Sequencing
Yoojin Choi, Aeree Kim, Jinkyoung Kim, Jinhwan Lee, Soo Yeon Lee, Chungyeul Kim Journal of Breast Cancer.2017; 20(4): 393. CrossRef - Biobank Regulation in South Korea
Won Bok Lee Journal of Law, Medicine & Ethics.2016; 44(2): 342. CrossRef - Standard based Deposit Guideline for Distribution of Human Biological Materials in Cancer Patients
Hwa Jeong Seo, Hye Hyeon Kim, Jeong Soo Im, Ju Han Kim Asian Pacific Journal of Cancer Prevention.2014; 15(14): 5545. CrossRef - Basis for Korean Genome Study
Hae-Wol Cho, Chaeshin Chu Osong Public Health and Research Perspectives.2012; 3(3): 119. CrossRef
|